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Record W4415597154 · doi:10.2196/66211

Piloting a Novel eHealth Technology for the Control and Management of Elevated Blood Pressure in Rwanda (HeartCare@Home Project): Protocol for a 2-Phase Crossover Study

2025· article· en· W4415597154 on OpenAlexvenueno aff
Aurore Nishimwe, Juliette Gasana, Regine Mugeni, Célestin Twizere, Eric Hitimana, Odile Bahati, Olive Mukeshimana, Cedric Manirafasha, Jean de Dieu Bugingo, Evariste Ntaganda, François Uwinkindi, Marc Twagirumukiza

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordseHealthProtocol (science)Blood pressureCrossover studyCrossovermHealthTelemedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Effective blood pressure (BP) monitoring is vital for the management of hypertension, allowing timely adjustments in treatment. This study focuses on the development and implementation of an innovative, locally designed eHealth technology, the HeartCare@Home system, to enhance the control and management of hypertension in outpatient noncommunicable disease (NCD) clinics in Rwanda. The HeartCare@Home system comprises a mobile health app that incorporates rapid SMS technology, an integrated dashboard for signal reception at the clinic office level, and a clinical decision support algorithm. OBJECTIVE: This study aims to assess the clinical efficacy, feasibility, and acceptability of a novel eHealth technology, the HeartCare@Home system, that uses home and clinic-based automated BP monitoring with real-time management of elevated BP in an outpatient NCD clinic in Rwanda. METHODS: This pilot study will use an interventional design with a crossover approach to test the clinical efficacy of the HeartCare@Home system at the NCD clinic of Kibagabaga District Hospital. A total of 140 patients with hypertension will take part in the study. All enrolled patients will be allocated to either the interventional group or the standard of care group. The follow-up for each group will be 6 months (3 months in each group follow-up). The data for the intervention group will be generated by our mobile health app, while data for the control group (standard care) will be retrieved from usual patient files at the NCD clinic. Data extraction sheets will be used for standard care data retrieval. The Feasibility of Intervention Measure and Acceptability of Intervention Measure tools will be used to cross-sectionally evaluate the feasibility and acceptability of the HeartCare@Home system. Data will be summarized with descriptive statistics. A paired sample 2-tailed t test will be used to test for differences between the pre- and postintervention records for hypertension control. RESULTS: This study will yield a technical infrastructure, the HeartCare@Home system, to support the control and management of hypertension in outpatient NCD clinics. It will introduce a new model of health care delivery through innovative technology that enables home-based BP monitoring. This will offer a unique technology to enable elevated BP control and timely hypertension management and will also ensure a real-time communication linkage between patients and the appropriate level of care. Furthermore, the findings from the assessment of the clinical efficacy, feasibility, and acceptability of the HeartCare@Home system will inform possible scalability of the system to more NCD clinics. The study is currently in the implementation stage. CONCLUSIONS: The HeartCare@Home project will address the important gap of low BP control rates in patients with hypertension, which has contributed to delayed consultations and increased cardiovascular mortality. Such eHealth technology infrastructure may also be scalable to other settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/66211.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.022
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.012
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0220.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.228
GPT teacher head0.567
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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